
Intelligent Supervisory Control, A Qualitative Bond Graph Reasoning Approach
World Scientific Publishing Co Pte Ltd
Will be published approx. on 1. September 1996
Book
Hardback
224 pages
978-981-02-2658-9 (ISBN)
Description
In this book, a methodology integrating qualitative reasoning and bond graphs is developed to construct intelligent supervisory control systems. Qualitative reasoning is a powerful model-based reasoning method while bond graphs are a formal modelling language for dynamic systems. Their integration and qualitative reasoning on bond graphs results in a problem-solving approach to artificial intelligence, in which qualitative reasoning is used as the general reasoning strategy and bond graphs are employed as the knowledge representation.A systematic modelling procedure based on qualitative bond graphs is presented. A controller design method is developed to derive control algorithms from qualitative bond graph models. An auto-tuning scheme is proposed to adjust the controllers in order to meet performance criteria and adapt to system changes. A fault diagnosis mechanism is built to localise system faults, and an additional measurement suggestion method is developed for the diagnosis result refinement. An automatic planner is proposed to generate the operation sequences for system start-up, shut-down, and emergency measures to help human operators operate systems safely. All of these applications are combined together via a management mechanism to construct a supervisory control system.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Product notice
sewn/stitched
Paper over boards
With dust jacket
Dimensions
Height: 216 mm
Width: 162 mm
Thickness: 19 mm
Weight
440 gr
ISBN-13
978-981-02-2658-9 (9789810226589)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Content
Review of previous work; qualitative bong graph modelling; hybrid qualitative and quantitative control; auto-tuning; fault diagnosis; intelligent supervisory control; conclusions and future work.